Release of the first Stable Diffusion 3.5 based anime model
First anime model on Stable Diffusion 3.5 challenges censorship myths with hand-reviewed 4-million image training set.
The Nekofantasia team has launched the first anime-specific AI art model built on the Stable Diffusion 3.5 architecture, challenging the community's neglect of what they call "the most advanced, highest-quality diffusion model available." The core innovation is its training dataset: 4 million images were manually reviewed and curated over two years to ensure only high-quality artwork was used, a painstaking process designed to avoid the common degradation caused by automated filtering systems. This addresses a key weakness in many AI art models that rely on scraped, unfiltered data.
Despite limited funding preventing full training, the alpha version of Nekofantasia already demonstrates significant potential. Early results show it can match the overall composition and background quality of established SDXL-based anime models while operating at a much lower training cost. Crucially, the team claims the model is free from the "plastic, cookie-cutter" art style plaguing other anime models and can properly render complex details, directly countering the perception that SD 3.5's built-in safeguards make it unsuitable for certain artistic genres. The release is positioned as a proof-of-concept to reignite developer interest in the underutilized SD 3.5 framework.
- First anime model built on Stable Diffusion 3.5 architecture, challenging its reputation for heavy censorship.
- Trained on a unique 4-million image dataset where every single image was hand-curated over two years to ensure quality.
- Achieves composition quality comparable to SDXL models at a fraction of the training cost, even in its early alpha stage.
Why It Matters
Proves high-quality, uncensored art is possible on advanced base models, potentially redirecting community development efforts and resources.